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  4. Containers As A Service
  5. Amazon EC2 Container Service vs Google Kubernetes Engine

Amazon EC2 Container Service vs Google Kubernetes Engine

OverviewDecisionsComparisonAlternatives

Overview

Google Kubernetes Engine
Google Kubernetes Engine
Stacks1.1K
Followers814
Votes78
Amazon EC2 Container Service
Amazon EC2 Container Service
Stacks14.5K
Followers10.2K
Votes325

Amazon EC2 Container Service vs Google Kubernetes Engine: What are the differences?

Introduction

Amazon EC2 Container Service (ECS) and Google Kubernetes Engine (GKE) are container orchestration platforms that allow users to manage and scale containerized applications. While both provide similar functionalities, there are key differences that set them apart.

  1. Launching and Managing Containers: ECS allows users to launch and manage containers using EC2 instances as the underlying compute resources. It provides fine-grained control over container placement and resource allocation. On the other hand, GKE leverages Google Compute Engine (GCE) virtual machines to launch and manage containers. GKE's integration with GCE provides advanced features like auto-scaling and managed instance groups.

  2. Container Scheduling: ECS uses a proprietary task scheduler to handle container placement within a cluster. It supports service discovery and load balancing through integration with Amazon Route 53 and Elastic Load Balancer. In contrast, GKE leverages Kubernetes, an open-source container orchestration platform, for container scheduling. Kubernetes offers a rich set of features like pod scaling, self-healing capabilities, and service discovery through integrated DNS.

  3. Managed vs. Self-managed Service: ECS is a fully managed service provided by AWS, which means that AWS takes care of the underlying infrastructure and ensures high availability and scalability. Users only need to define the container specifications and let ECS handle the rest. On the other hand, GKE is a self-managed service where users are responsible for managing the clusters and nodes. This provides more flexibility and control but requires additional management overhead.

  4. Cloud Provider Integration: ECS is tightly integrated with the AWS ecosystem, allowing users to leverage other AWS services like CloudWatch for monitoring, IAM for access control, and AWS Fargate for serverless container provisioning. GKE, on the other hand, offers integration with Google Cloud Platform services like Stackdriver for logging and monitoring and Cloud IAM for access control.

  5. Networking and Load Balancing: ECS uses Elastic Load Balancer (ELB) for load balancing and supports both classic and application load balancers. It integrates with Amazon VPC for networking and provides features like security groups and network ACLs for enhanced security. GKE uses Google Cloud Load Balancing for load balancing and supports HTTP(S), SSL/TCP, and network load balancing. It integrates with Google Cloud VPC for networking and provides features like firewall rules and network policies.

  6. Pricing Model: ECS pricing mainly depends on the EC2 instances used to host the containers and the additional AWS services utilized. It follows an hourly rate and offers several pricing options for reserved instances. GKE pricing is based on the GCE instances and the additional resources consumed by the cluster. Similar to ECS, GKE provides various pricing options like sustained use discounts and committed use contracts.

In summary, Amazon EC2 Container Service and Google Kubernetes Engine differ in their underlying infrastructure management, container scheduling mechanisms, level of service management, cloud provider integrations, networking/load balancing options, and pricing models.

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Advice on Google Kubernetes Engine, Amazon EC2 Container Service

Vladyslav
Vladyslav

Sr. Directory of Technology at Shelf

Nov 5, 2021

Decided

Back in 2018, we were running microservices in the ECS cluster by managing EC2 instances ourselves. It involved lots of toil work.

Without Fargate we had to maintain & monitor a pool of spot instances, choose the right size of instances, keep OS up-to-date, etc.

We want to ship features, not to manage servers. That's why as soon as AWS Fargate was announced, we migrated our microservices to this managed service. The only configuration you need is Docker image, RAM & CPU resources. The rest of the heavy lifting is taken care of by Fargate, which is wonderful.

14.8k views14.8k
Comments
Andres
Andres

Lead Senior Software Engineer at InTouch Technology

Jun 3, 2020

Decided

If you want to integrate your cluster and control end to end your pipeline with AWS tools like ECR and Code Pipeline your best option is ECS using a EC2 instance. There are pros and cons but it's easier to integrate using cloud formation templates and visual UI for approvals, etc. ECS is free, you need to pay only for the EC2 instance but unfortunately, it is not standard then you cannot use standard tools to see and manage your Kubernetes.
EKS in the other hand uses standard Kubernates definitions but you need to pay for the service and also for the EC2 instance(s) you have in your cluster.

91.7k views91.7k
Comments

Detailed Comparison

Google Kubernetes Engine
Google Kubernetes Engine
Amazon EC2 Container Service
Amazon EC2 Container Service

Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.

Docker support - Improve the predictability of your deployments with Docker containers. Containers make it easy to deploy applications across environments.; Better ops - Give ops a better system, starting with a managed compute cluster. Container Engine takes care of provisioning and maintaining the underlying virtual machines and operational logistics like logging, monitoring, and health management.;Declarative management - Use declarative syntax to define your application requirements. Container Engine will actively manage your application, ensuring your containers are running and scheduling additional as needed.;Scalable - Run multiple containers in a single virtual machine, or scale to many as your application grows. Container Engine makes it easy to manage your containers across a group of virtual machines.;Powered by Kubernetes - Container Engine is powered by the open source Kubernetes technology. Join the discussion on Kubernetes and be part of the growing community.;Decoupled apps - Let developers focus on code, with very few constraints. Create loosely coupled microservice apps that are more robust and easier to maintain and extend.
Docker Compatibility;Managed Clusters;Programmatic Control;Task Definitions;Scheduler;Docker Repository
Statistics
Stacks
1.1K
Stacks
14.5K
Followers
814
Followers
10.2K
Votes
78
Votes
325
Pros & Cons
Pros
  • 18
    Powered by kubernetes
  • 18
    Backed by Google
  • 13
    Docker
  • 12
    Scalable
  • 7
    Open source
Pros
  • 100
    Backed by amazon
  • 72
    Familiar to ec2
  • 53
    Cluster based
  • 42
    Simple API
  • 26
    Iam roles
Integrations
Docker
Docker
Docker
Docker
Amazon EC2
Amazon EC2

What are some alternatives to Google Kubernetes Engine, Amazon EC2 Container Service?

Containerum

Containerum

Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.

Azure Container Service

Azure Container Service

Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.

Docker Cloud

Docker Cloud

Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.

Amazon EKS

Amazon EKS

Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

instainer

instainer

InstaDocker is a Docker container hosting service which allows run any Docker container on the cloud instantly.

Docker Datacenter

Docker Datacenter

Docker Datacenter is an integrated solution including open source and commercial software, the integrations between them, full Docker API support, validated configurations and commercial support for your Docker Datacenter environment.

DCHQ

DCHQ

DCHQ delivers enterprise discipline to Linux Containers application lifecycle management. Available in hosted and on-prem versions, DCHQ provides the most advanced application composition framework extending Docker Compose through environment variable bindings across images, BASH script plug-ins that can be invoked at request time and post-provision and support for clustering for high availability across multiple hosts and auto-scaling.

Supergiant

Supergiant

Supergiant is a container management platform built on top of Kubernetes. Supergiant makes it easy to deploy and manage faster, and it reduces hardware expenses. Packing algorithm efficiently matches your overall CPU and RAM needs.

AWS Fargate

AWS Fargate

AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. With AWS Fargate, you no longer have to provision, configure, and scale clusters of virtual machines to run containers.

Azure Kubernetes Service

Azure Kubernetes Service

Deploy and manage containerized applications more easily with a fully managed Kubernetes service. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.

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